Plot result
source("script/04A-self_assembly-02-read_community_data.R")
if(write_all_csv) {
fwrite(df_self_assembly, root$find_file("output/report/data/temp/df_self_assembly.txt"))
fwrite(df_mono, root$find_file("output/report/data/temp/df_mono.txt"))
fwrite(df_grower, root$find_file("output/report/data/temp/df_grower.txt"))
}
Richness

Relative abundances, 4 self-assembled communities for example

Relative abundances of 96 self-assembled communities at 10th transfer
p_self_assembly[[4]]

pdf(root$find_file("output/report/figure/04A-self_assembly-self_assembled_communities.pdf")); p_self_assembly[[4]]; invisible(dev.off())
Monoculture growth
p_mono[[2]]

pdf(root$find_file("output/report/figure/04A-self_assembly-monoculture_growth.pdf")); p_mono[[2]]; invisible(dev.off())
List of grower identified by monoculture
df_mono %>%
filter(Type == "consumer", Transfer == 10) %>%
pull(ID) %>% as.character() %>% paste0(collapse = ", ")
[1] "13, 16, 17, 18, 21, 33, 38, 49, 51, 66, 68, 74, 83, 85, 94, 110, 115, 118, 142, 152, 155, 158, 171, 177, 183, 188, 191"
Pairwise competition
Species list from equilibrial community W0
df_self_assembly %>%
filter(Type == "consumer", Transfer == 10) %>%
filter(Community == "W14") %>%
pull(ID) %>%
paste0(collapse = ", ")
Essential functions for community self-assembly
source_python("script/04A-self_assembly-01-experiment_functions.py")
Pairwise competition in self-assembled community W0
# Assumptions
assumptions = a_default.copy() # Start with default parameters
assumptions.update({'n_wells':96, 'c1' :0.01, 'muc':0.1, 'm':0}) # Switch off mortality
# Prepare experiment
params, species_pool = prepare_experiment(assumptions)
## Simulation parameters
params_simulation = {
"n_propagation": 12, # Length of propagation, or hours within a growth cycle
"n_transfer": 10, # Number of transfer, or number of passage
"dilution": 1/1000, # Dilution factor for transfer
}
# Make initial state
N0 = make_synthetic_community(species_list = [13, 16, 17, 33, 49, 51, 68, 74, 85, 94, 152, 155, 171, 188, 191], assumptions = assumptions, number_species = 2, initial_frequency = [[0.5, 0.5], [0.95, 0.05], [0.05, 0.95]])
init_state = make_initial_state(assumptions, N0)
# Make plate
plate = Community(init_state, dynamics, params, scale = 10**6, parallel = True)
# Simulation
simulate_community(plate, assumptions, params_simulation, file_name = "data/self_assembly-pair-W0", write_composition = True)
Pairwise competition in self-assembled community W1
# Assumptions
assumptions = a_default.copy() # Start with default parameters
assumptions.update({'n_wells':96, 'c1' :0.01, 'muc':0.1, 'm':0}) # Switch off mortality
# Prepare experiment
params, species_pool = prepare_experiment(assumptions)
## Simulation parameters
params_simulation = {
"n_propagation": 12, # Length of propagation, or hours within a growth cycle
"n_transfer": 10, # Number of transfer, or number of passage
"dilution": 1/1000, # Dilution factor for transfer
}
# Make initial state
N0 = make_synthetic_community(species_list = [18, 21, 38, 51, 94, 142, 152, 155, 158, 171, 183, 188], assumptions = assumptions, number_species = 2, initial_frequency = [[0.5, 0.5], [0.95, 0.05], [0.05, 0.95]])
init_state = make_initial_state(assumptions, N0)
# Make plate
plate = Community(init_state, dynamics, params, scale = 10**6, parallel = True)
# Simulation
simulate_community(plate, assumptions, params_simulation, file_name = "data/self_assembly-pair-W1", write_composition = True)
Pairwise competition in self-assembled community W2
# Assumptions
assumptions = a_default.copy() # Start with default parameters
assumptions.update({'n_wells':96, 'c1' :0.01, 'muc':0.1, 'm':0}) # Switch off mortality
# Prepare experiment
params, species_pool = prepare_experiment(assumptions)
## Simulation parameters
params_simulation = {
"n_propagation": 12, # Length of propagation, or hours within a growth cycle
"n_transfer": 10, # Number of transfer, or number of passage
"dilution": 1/1000, # Dilution factor for transfer
}
# Make initial state
N0 = make_synthetic_community(species_list = [13, 16, 18, 21, 33, 66, 85, 110, 115, 118, 155, 171, 177, 191], assumptions = assumptions, number_species = 2, initial_frequency = [[0.5, 0.5], [0.95, 0.05], [0.05, 0.95]])
init_state = make_initial_state(assumptions, N0)
# Make plate
plate = Community(init_state, dynamics, params, scale = 10**6, parallel = True)
# Simulation
simulate_community(plate, assumptions, params_simulation, file_name = "data/self_assembly-pair-W2", write_composition = True)
Pairwise competition in self-assembled community W14
# Assumptions
assumptions = a_default.copy() # Start with default parameters
assumptions.update({'n_wells':96, 'c1' :0.01, 'muc':0.1, 'm':0}) # Switch off mortality
# Prepare experiment
params, species_pool = prepare_experiment(assumptions)
## Simulation parameters
params_simulation = {
"n_propagation": 12, # Length of propagation, or hours within a growth cycle
"n_transfer": 10, # Number of transfer, or number of passage
"dilution": 1/1000, # Dilution factor for transfer
}
# Make initial state
N0 = make_synthetic_community(species_list = [13, 16, 18, 21, 51, 52, 74, 94, 115, 138, 142, 152, 155, 158, 171, 177, 180, 183, 200], assumptions = assumptions, number_species = 2, initial_frequency = [[0.5, 0.5], [0.95, 0.05], [0.05, 0.95]])
init_state = make_initial_state(assumptions, N0)
# Make plate
plate = Community(init_state, dynamics, params, scale = 10**6, parallel = True)
# Simulation
simulate_community(plate, assumptions, params_simulation, file_name = "data/self_assembly-pair-W14", write_composition = True)
Run W14 for longer
# Assumptions
assumptions = a_default.copy() # Start with default parameters
assumptions.update({'n_wells':96, 'c1' :0.01, 'muc':0.1, 'm':0}) # Switch off mortality
# Prepare experiment
params, species_pool = prepare_experiment(assumptions)
## Simulation parameters
params_simulation = {
"n_propagation": 12, # Length of propagation, or hours within a growth cycle
"n_transfer": 30, # Number of transfer, or number of passage
"dilution": 1/1000, # Dilution factor for transfer
}
# Make initial state
N0 = make_synthetic_community(species_list = [13, 16, 18, 21, 51, 52, 74, 94, 115, 138, 142, 152, 155, 158, 171, 177, 180, 183, 200], assumptions = assumptions, number_species = 2, initial_frequency = [[0.5, 0.5], [0.95, 0.05], [0.05, 0.95]])
init_state = make_initial_state(assumptions, N0)
# Make plate
plate = Community(init_state, dynamics, params, scale = 10**6, parallel = True)
# Simulation
simulate_community(plate, assumptions, params_simulation, file_name = "data/self_assembly-pair-W14a", write_composition = True)
Plot result
if(write_all_csv) fwrite(df_pair_interaction, root$find_file("output/report/data/temp/df_pair_interaction.txt"))
List of grower identified by monoculture
df_mono %>%
filter(Type == "consumer", Transfer == 10) %>%
pull(ID) %>% as.character() %>% paste0(collapse = ", ")
[1] "13, 16, 17, 18, 21, 33, 38, 49, 51, 66, 68, 74, 83, 85, 94, 110, 115, 118, 142, 152, 155, 158, 171, 177, 183, 188, 191"
Pairwise competition in self-assembled communities
p_pair
[[1]]
[[2]]
[[3]]
[[4]]
[[5]]





pdf(root$find_file("output/report/figure/04A-self_assembly-W14_pairwise_competition.pdf")); p_pair[[3]]; invisible(dev.off())
pdf(root$find_file("output/report/figure/04A-self_assembly-W14a_pairwise_competition.pdf")); p_pair[[4]]; invisible(dev.off())
Number of interaction types
p_interaction_frequency

pdf(root$find_file("output/report/figure/04A-self_assembly-pairwise_interactions.pdf"), width = 8, height = 5); p_interaction_frequency; invisible(dev.off())
---
title: "Self-assembly using mechanistic consumer-resource models"
author: "Chang-Yu Chang"
date: "`r Sys.Date()`"
output:
  html_notebook:
    number_sections: no
    toc: yes
linkcolor: red
fontsize: 12pt
urlcolor: blue
---

```{r setup, include = FALSE}
# Knitr options
knitr::opts_chunk$set(
  cache = FALSE, 
  echo = TRUE,
	fig.align = "center",
	fig.height = 3,
	fig.width = 3)

# Packages
library(tidyverse)
library(data.table)
library(invnet)
library(reticulate) # Python interface
reticulate::use_python('~/anaconda3/bin/python3.7m') # Use this python version

# Local directory and functions
root <- rprojroot::is_r_package # Package root
source(root$find_file("misc/utils.R"))
source(root$find_file("misc/network_functions.R"))
write_all_csv <- TRUE
write_all_pdf <- TRUE
```

Python version

```{python}
import sys
print(sys.version)
```

# Settings

## Import packages

```{python echo = T}
from IPython.display import Image
from community_simulator import *
from community_simulator.usertools import *
from community_simulator.visualization import *
import seaborn as sns
import matplotlib.pyplot as plt
from matplotlib.backends import backend_pdf as bpdf
#colors = sns.color_palette()
#%matplotlib inline
```


# Functions for simulation

1. `prepare_experiment(assumption)`
    - Make `params` and `species_pool` 

2. `make_synthetic_*()`
    - `make_synthetic_mono(assumptions)` 
    - `make_synthetic_community()`
    - `make_initial_state(assmuptions, N0)` 

3. `simluate_community(plate, assumptions, params_simulation, file_name)`

```{r}
N0 = make_synthetic_community(species_list = [13, 16, 17, 33, 49, 51, 68, 74, 85, 94, 152, 155, 171, 188, 191], assumptions = assumptions, number_species = 2, initial_frequency = [[0.5, 0.5], [0.95, 0.05], [0.05, 0.95]])
init_state = make_initial_state(assumptions, N0)

# Make plate
plate = Community(init_state, dynamics, params, scale = 10**6, parallel = True)

# Simulation
simulate_community(plate, assumptions, params_simulation, file_name = "data/self_assembly-pair-W0", write_composition = True)
```


```{r}
source_python("script/04A-self_assembly-01-experiment_functions.py")
```

# Simulation

Parameters

```{python}
# Assumptions
assumptions = a_default.copy() # Start with default parameters
assumptions.update({'n_wells':96, 'c1' :0.01, 'muc':0.1, 'm':0}) # Switch off mortality

# Prepare experiment
params, species_pool = prepare_experiment(assumptions)

## Simulation parameters
params_simulation = {
    "n_propagation": 12, # Length of propagation, or hours within a growth cycle
    "n_transfer": 10, # Number of transfer, or number of passage
    "dilution": 1/1000, # Dilution factor for transfer
}
```


96 self-assembled communities 

```{python}
# Make initial state
init_state = MakeInitialState(assumptions)

# Make plate
plate = Community(init_state, dynamics, params, scale = 10**6, parallel = True) 

# Simulation
simulate_community(plate, assumptions, params_simulation, file_name = "data/self_assembly-community", write_composition = True)
```

Monocultures

```{python}
# Make initial state
N0 = make_synthetic_mono(assumptions)
init_state = make_initial_state(assumptions, N0)

# Make plate
plate = Community(init_state, dynamics, params, scale = 10**6, parallel = True) 

# Simulation
simulate_community(plate, assumptions, params_simulation, file_name = "data/self_assembly-mono", write_composition = True)
```

# Plot result

```{r}
source("script/04A-self_assembly-02-read_community_data.R")
```

```{r}
if(write_all_csv) {
  fwrite(df_self_assembly, root$find_file("output/report/data/temp/df_self_assembly.txt"))
  fwrite(df_mono, root$find_file("output/report/data/temp/df_mono.txt"))
  fwrite(df_grower, root$find_file("output/report/data/temp/df_grower.txt"))
}
```


Richness

```{r}
p_self_assembly[[1]]
```

Relative abundances, 4 self-assembled communities for example

```{r}
p_self_assembly[[3]]
```

Relative abundances of 96 self-assembled communities at 10th transfer

```{r}
p_self_assembly[[4]]
pdf(root$find_file("output/report/figure/04A-self_assembly-self_assembled_communities.pdf")); p_self_assembly[[4]]; invisible(dev.off())
```

Monoculture growth

```{r}
p_mono[[2]]
pdf(root$find_file("output/report/figure/04A-self_assembly-monoculture_growth.pdf")); p_mono[[2]]; invisible(dev.off())
```

List of grower identified by monoculture

```{r}
df_mono %>%
  filter(Type == "consumer", Transfer == 10) %>%
  pull(ID) %>% as.character() %>% paste0(collapse = ", ")
```


# Pairwise competition

Species list from equilibrial community W0

```{r}
df_self_assembly %>%
  filter(Type == "consumer", Transfer == 10) %>%
  filter(Community == "W14") %>% 
  pull(ID) %>%
  paste0(collapse = ", ")
```

Essential functions for community self-assembly

```{r}
source_python("script/04A-self_assembly-01-experiment_functions.py")
```

Pairwise competition in self-assembled community W0

```{python}
# Assumptions
assumptions = a_default.copy() # Start with default parameters
assumptions.update({'n_wells':96, 'c1' :0.01, 'muc':0.1, 'm':0}) # Switch off mortality

# Prepare experiment
params, species_pool = prepare_experiment(assumptions)

## Simulation parameters
params_simulation = {
    "n_propagation": 12, # Length of propagation, or hours within a growth cycle
    "n_transfer": 10, # Number of transfer, or number of passage
    "dilution": 1/1000, # Dilution factor for transfer
}

# Make initial state
N0 = make_synthetic_community(species_list = [13, 16, 17, 33, 49, 51, 68, 74, 85, 94, 152, 155, 171, 188, 191], assumptions = assumptions, number_species = 2, initial_frequency = [[0.5, 0.5], [0.95, 0.05], [0.05, 0.95]])
init_state = make_initial_state(assumptions, N0)

# Make plate
plate = Community(init_state, dynamics, params, scale = 10**6, parallel = True)

# Simulation
simulate_community(plate, assumptions, params_simulation, file_name = "data/self_assembly-pair-W0", write_composition = True)
```


Pairwise competition in self-assembled community W1

```{python}
# Assumptions
assumptions = a_default.copy() # Start with default parameters
assumptions.update({'n_wells':96, 'c1' :0.01, 'muc':0.1, 'm':0}) # Switch off mortality

# Prepare experiment
params, species_pool = prepare_experiment(assumptions)

## Simulation parameters
params_simulation = {
    "n_propagation": 12, # Length of propagation, or hours within a growth cycle
    "n_transfer": 10, # Number of transfer, or number of passage
    "dilution": 1/1000, # Dilution factor for transfer
}

# Make initial state
N0 = make_synthetic_community(species_list = [18, 21, 38, 51, 94, 142, 152, 155, 158, 171, 183, 188], assumptions = assumptions, number_species = 2, initial_frequency = [[0.5, 0.5], [0.95, 0.05], [0.05, 0.95]])
init_state = make_initial_state(assumptions, N0)

# Make plate
plate = Community(init_state, dynamics, params, scale = 10**6, parallel = True)

# Simulation
simulate_community(plate, assumptions, params_simulation, file_name = "data/self_assembly-pair-W1", write_composition = True)
```

Pairwise competition in self-assembled community W2

```{python}
# Assumptions
assumptions = a_default.copy() # Start with default parameters
assumptions.update({'n_wells':96, 'c1' :0.01, 'muc':0.1, 'm':0}) # Switch off mortality

# Prepare experiment
params, species_pool = prepare_experiment(assumptions)

## Simulation parameters
params_simulation = {
    "n_propagation": 12, # Length of propagation, or hours within a growth cycle
    "n_transfer": 10, # Number of transfer, or number of passage
    "dilution": 1/1000, # Dilution factor for transfer
}

# Make initial state
N0 = make_synthetic_community(species_list = [13, 16, 18, 21, 33, 66, 85, 110, 115, 118, 155, 171, 177, 191], assumptions = assumptions, number_species = 2, initial_frequency = [[0.5, 0.5], [0.95, 0.05], [0.05, 0.95]])
init_state = make_initial_state(assumptions, N0)

# Make plate
plate = Community(init_state, dynamics, params, scale = 10**6, parallel = True)

# Simulation
simulate_community(plate, assumptions, params_simulation, file_name = "data/self_assembly-pair-W2", write_composition = True)
```



Pairwise competition in self-assembled community W14

```{python}
# Assumptions
assumptions = a_default.copy() # Start with default parameters
assumptions.update({'n_wells':96, 'c1' :0.01, 'muc':0.1, 'm':0}) # Switch off mortality

# Prepare experiment
params, species_pool = prepare_experiment(assumptions)

## Simulation parameters
params_simulation = {
    "n_propagation": 12, # Length of propagation, or hours within a growth cycle
    "n_transfer": 10, # Number of transfer, or number of passage
    "dilution": 1/1000, # Dilution factor for transfer
}

# Make initial state
N0 = make_synthetic_community(species_list = [13, 16, 18, 21, 51, 52, 74, 94, 115, 138, 142, 152, 155, 158, 171, 177, 180, 183, 200], assumptions = assumptions, number_species = 2, initial_frequency = [[0.5, 0.5], [0.95, 0.05], [0.05, 0.95]])
init_state = make_initial_state(assumptions, N0)

# Make plate
plate = Community(init_state, dynamics, params, scale = 10**6, parallel = True)

# Simulation
simulate_community(plate, assumptions, params_simulation, file_name = "data/self_assembly-pair-W14", write_composition = True)
```


Run W14 for longer

```{python}
# Assumptions
assumptions = a_default.copy() # Start with default parameters
assumptions.update({'n_wells':96, 'c1' :0.01, 'muc':0.1, 'm':0}) # Switch off mortality

# Prepare experiment
params, species_pool = prepare_experiment(assumptions)

## Simulation parameters
params_simulation = {
    "n_propagation": 12, # Length of propagation, or hours within a growth cycle
    "n_transfer": 30, # Number of transfer, or number of passage
    "dilution": 1/1000, # Dilution factor for transfer
}

# Make initial state
N0 = make_synthetic_community(species_list = [13, 16, 18, 21, 51, 52, 74, 94, 115, 138, 142, 152, 155, 158, 171, 177, 180, 183, 200], assumptions = assumptions, number_species = 2, initial_frequency = [[0.5, 0.5], [0.95, 0.05], [0.05, 0.95]])
init_state = make_initial_state(assumptions, N0)

# Make plate
plate = Community(init_state, dynamics, params, scale = 10**6, parallel = True)

# Simulation
simulate_community(plate, assumptions, params_simulation, file_name = "data/self_assembly-pair-W14a", write_composition = True)
```

## Plot result

```{r message = F}
source("script/04A-self_assembly-03-read_pair_data.R")
```

```{r}
if(write_all_csv) fwrite(df_pair_interaction, root$find_file("output/report/data/temp/df_pair_interaction.txt"))
```


List of grower identified by monoculture

```{r}
df_mono %>%
  filter(Type == "consumer", Transfer == 10) %>%
  pull(ID) %>% as.character() %>% paste0(collapse = ", ")
```


Pairwise competition in self-assembled communities

```{r}
p_pair
```


```{r}
pdf(root$find_file("output/report/figure/04A-self_assembly-W14_pairwise_competition.pdf")); p_pair[[3]]; invisible(dev.off())

pdf(root$find_file("output/report/figure/04A-self_assembly-W14a_pairwise_competition.pdf")); p_pair[[4]]; invisible(dev.off())
```



## Number of interaction types

```{r fig.width = 3, fig.height = 2}
p_interaction_frequency

pdf(root$find_file("output/report/figure/04A-self_assembly-pairwise_interactions.pdf"), width = 8, height = 5); p_interaction_frequency; invisible(dev.off())

```























